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Google 上的全新招聘信息搜索体验使 ZipRecruiter 的转化率提高了 4.5 倍
发布日期:2018 年 5 月 8 日
挑战
ZipRecruiter 于 2010 年作为一款工具问世,它可帮助各种规模的企业在多个平台上发布在线招聘信息,并且收费实惠。为了能够广泛地分发直接发布到其网站上的数百万条招聘信息,ZipRecruiter 与 Google 搜索合作添加结构化数据 - 一种向搜索引擎提供信息的标准化格式。
该公司于 2012 年开始在其网站上添加结构化数据,并视此做法为一种最佳做法。他们还不断地监测和添加新字段。“使用结构化数据提供招聘信息对我们来说很有意义,因为它能帮助我们更轻松地呈现求职者正在寻找的职位”,ZipRecruiter 高级产品经理 Misha Silin 说道。“我们会积极关注最新的微格式标准,并且每当新数据元素发布时,就更新我们的结构化数据内容。我们的目标是:减少会对求职者的搜索引擎体验产生不利影响的因素,让他们能够更轻松地找到 ZipRecruiter 上发布的职位。”
解决方案
由于招聘信息分散在网络、报纸以及朋友和同事关系网中,因此求职者可能很难找到与自己独特的需求和技能相符的招聘信息。Google 于 2017 年 6 月推出了采用招聘信息结构化数据的招聘信息搜索体验。这与 ZipRecruiter 的做法完美契合。“我们的在线发展战略旨在让求职者能够轻松地申请理想的职位,Google 是可助力我们达成此目标的主要合作伙伴”,Silin 说道。“与 Google 合作是我们的明智之选。我们非常期待能以一种便于用户发现的方式将这些原创内容呈现在搜索引擎中。”
由于已经很熟悉结构化数据,ZipRecruiter 毫不费力地根据 Google 指南采取了这种格式。“无需进行任何大规模的整改,因为结构化数据早已融入到我们的 DNA 中”,Silin 说道。“不过,在这次与 Google 合作部署结构化数据的过程中,我们也借机重新审视了我们对数据的处理方式”,他补充道。“通过将多年来我们借助机器学习技术挖掘的数据以结构化方式呈现在搜索引擎中,我们得以实现了更多价值。”如果 Google 推荐了一个对求职者有用的新字段,ZipRecruiter 便会测试该字段并将它应用到他们的招聘信息页面中。
结果
该公司使用转化率(在从 Google 搜索转到 ZipRecruiter 网站后注册其服务的用户所占百分比)作为衡量数字内容成效的关键指标。在推出 JobPosting
结构化数据后,相比于来自其他搜索引擎的自然流量,流向 ZipRecruiter 招聘信息页面的 Google 自然流量的转化率高出 3 倍。招聘信息页面上的 Google 自然搜索转化率也比以前高出 4.5 倍以上,而且 Google 访问者在转到招聘信息页面后的跳出率降幅超出了 10%。
3x
- Google 带来的转化率高于其他搜索引擎的幅度
4.5x
- Google 自然转化率与之前相比的增幅
10%
- Google 访问者在转到招聘信息页面后的跳出率降幅
最后,ZipRecruiter 的每月非品牌自然流量增加了 35%。“在 Google 招聘信息推出后的第二天,我们在检查效果时就发现转化率提升了”,Silin 说道。
在线求职者都希望能尽早看到刚发布的新职位,而不想将时间浪费在已过期但尚未移除的招聘信息上。ZipRecruiter 对 Google 搜索结果中显示的招聘信息的准确性和新鲜度感到十分满意。“Google 搜索体验的内容更新效率给我们留下了非常深刻的印象”,Silin 指出。“其中显示的招聘信息几乎是实时更新的。”
该公司已做好万全的准备,可确保业务不断增长并持续提供高效服务。“结构化数据的好处在于,能够快速为求职者提供与某个职位相关的大量关键信息,帮助求职者决定该职位是否适合自己”,Silin 说道。“采用结构化数据的全新 Google 搜索体验对我们来说非常有用,尤其是它可以帮助求职者在 ZipRecruiter 上查找招聘信息。”
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[null,null,[],[[["\u003cp\u003eZipRecruiter partnered with Google Search and implemented structured data to enhance job posting visibility and searchability.\u003c/p\u003e\n"],["\u003cp\u003eLeveraging Google's job search experience and structured data, ZipRecruiter increased its Google organic conversion rate by 4.5 times and lowered bounce rate by over 10%.\u003c/p\u003e\n"],["\u003cp\u003eThe implementation of structured data resulted in a 3 times higher conversion rate from Google organic traffic compared to other search engines, along with a 35% increase in monthly organic non-branded traffic.\u003c/p\u003e\n"],["\u003cp\u003eZipRecruiter benefited from the real-time updates of job listings within Google Search, ensuring accuracy and freshness for job seekers.\u003c/p\u003e\n"],["\u003cp\u003eStructured data enables job seekers to quickly access key job information, improving the job search experience and helping them find suitable jobs on ZipRecruiter.\u003c/p\u003e\n"]]],["ZipRecruiter implemented structured data for job postings, aligning with Google's job search experience launched in 2017. They leveraged their existing data and machine learning to enhance data exposure to search engines. This resulted in a 4.5x increase in Google organic conversion rate, a 3x higher conversion rate compared to other search engines, and a 10% decrease in bounce rate for Google visitors. Additionally, monthly organic non-branded traffic increased by 35%. ZipRecruiter also observed real-time updates of their listings on Google Search.\n"],null,["# ZipRecruiter JobPosting Markup Case Study | Google Search Central\n\nZipRecruiter grew conversion rate 4.5x with the new job search experience on Google\n===================================================================================\n\nPublished on May 8, 2018\n\nChallenge\n---------\n\n\nZipRecruiter began in 2010 as a tool to help businesses of all sizes distribute online job\npostings affordably across multiple platforms. Wanting to widely distribute millions of\njobs, which are posted directly to the site, ZipRecruiter partnered with Google Search to\nadd [structured data](/search/docs/appearance/structured-data/job-posting), a standardized format\nfor providing information to search engines.\n\n\nThe company began adding structured data to their website as a best practice in 2012. They\ncontinually monitor and add new fields. \"Structured data for job postings makes a lot of sense\nfor us, as it's helped us more easily surface what we know job seekers are immediately looking\nfor,\" says Misha Silin, ZipRecruiter senior product manager. \"We actively keep up with the\nlatest micro-formatting standards, refreshing our structured data content as often as new data\nelements are released. Our goal is to reduce friction for job seekers on search engines and\nmake it easier for them to find jobs posted on ZipRecruiter.\"\n\nSolution\n--------\n\n\nWith job postings scattered across the web, newspapers and networks of friends and colleagues,\njob seekers can have a hard time finding listings that are a good match for their unique needs\nand skills. Google launched a search experience for jobs, leveraging job posting structured\ndata in June 2017. This worked perfectly with ZipRecruiter's approach. \"Google is a major\npartner in our online strategy of making it easy for candidates to apply for the perfect job,\"\nSilin says. \"Google fit right into that collaboration. We were really excited about being able\nto expose this original content to search engines in a discoverable way.\"\n\n\nAlready experienced with the format, ZipRecruiter easily implemented structured data to meet\n[Google guidelines](/search/docs/appearance/structured-data/job-posting#guidelines). \"There wasn't\na need to do any sort of big overhaul---it was already part of our DNA,\" Silin says. \"Still,\nthe Google rollout was a good opportunity for our company to revisit how we handle data,\" he\nadds. \"We were able to unlock even more value by exposing data that we've mined over the years\nvia machine learning to search engines in a structured way.\" If Google recommends a new field\nthat's useful for job seekers, ZipRecruiter tests and implements it for their job pages.\n\nResult\n------\n\n\nThe company uses conversion rate (the percentage of people who register for ZipRecruiter's\nservice after landing on their site from Google Search) as a key measure of digital\neffectiveness. After the launch of `JobPosting` structured data,\nGoogle organic traffic to ZipRecruiter job pages converted at a rate three times higher than\norganic traffic from other search engines. The Google organic conversion rate on job pages\nwas also more than 4.5 times higher than it had been previously, and the bounce rate for\nGoogle visitors to job pages dropped by over 10%. \n3~x~\n\nHigher conversion rate from Google than from other search engines \n4.5~x~\n\nHigher Google organic conversion rate than it was previously \n10~%~\n\nLower bounce rate for Google visitors to job pages\n\n\nLastly, ZipRecruiter saw a 35% rise in monthly organic non-branded traffic. \"We saw that\nincrease in conversion rate when we were reviewing results the day after the launch of\nGoogle for Jobs,\" Silin says. \n35~%~\n\nMore monthly organic non-branded traffic\n\n\nOnline job seekers want to see new job listings as soon as they're posted, but don't want to\nwaste time on ones that are outdated, but not yet removed. ZipRecruiter was pleased with the\naccuracy and freshness of their job postings in Google Search results. \"We've been really\nimpressed by how fresh the content is within Google's search experience,\" Silin notes.\n\"They're basically updating job listings almost in real time.\"\n\n\nThe company is well situated for continued growth and effective service. \"What's great about\nstructured data is it quickly provides job seekers with a lot of key information about a job\nso that they can decide if it's right for them,\" Silin says. \"The new Google Search experience\nwith structured data is very valuable for us, especially as a tool to help job seekers find\njobs on ZipRecruiter.\""]]